Trajectory based event tactics analysis in broadcast sports video

Citations Over TimeTop 10% of 2007 papers

Abstract

Most of existing approaches on event detection in sports video are general audience oriented. The extracted events are then presented to the audience without further analysis. However, professionals, such as soccer coaches, are more interested in the tactics used in the events. In this paper, we present a novel approach to extract tactic information from the goal event in broadcast soccer video and present the goal event in a tactic mode to the coaches and sports professionals. We first extract goal events with far-view shots based on analysis and alignment of web-casting text and broadcast video. For a detected goal event, we employ a multi-object detection and tracking algorithm to obtain the players and ball trajectories in the shot. Compared with existing work, we proposed an effective tactic representation called aggregate trajectory which is constructed based on multiple trajectories using a novel analysis of temporal-spatial interaction among the players and the ball. The interactive relationship with play region information and hypothesis testing for trajectory temporal-spatial distribution are exploited to analyze the tactic patterns in a hierarchical coarse-to-fine framework. The experimental results on the data of FIFA World Cup 2006 are promising and demonstrate our approach is effective.

Related Papers

• → Fixed RTA fuel optimal profile descent based on analysis of trajectory performance bound(2012)1 cited
• → An Assessment of Geometric Methods in Trajectory Synthesis for Shape Creating Operations(1998)2 cited
• → Research on 3-D Trajectory Prediction(2015)
• → Interaction-Based Trajectory Prediction of Surrounding Vehicles with Driving Maneuvers Recognition(2023)
• → TSHN: A Trajectory Similarity Hybrid Networks for Dummy Trajectory Identification(2023)